Evidence map›Paper›PMID 31102402›Full record

ArticleEuropean heart journal2020

Prediction of individualized lifetime benefit from cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people.

Nicole E M Jaspers, Michael J Blaha, Kunihiro Matsushita, Yvonne T van der Schouw, Nicholas J Wareham, Kay-Tee Khaw, Marie H Geisel, Nils Lehmann, Raimund Erbel, Karl-Heinz Jöckel and 6 more

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In one paragraph

Article in European heart journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Pooled it
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  14. The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
  15. Observational
  16. Review
  17. Article
  18. Article
  19. Article
  20. Cardiovascular risk assessment in daily clinical practice: when and how to use a risk score.European heart journal supplements : journal of the European Society of Cardiology · 2025
    Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Nicole E M JaspersDepartment of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD 21287, USA.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument Street, Baltimore, MD 21287, USA.
Yvonne T van der SchouwJulius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
Nicholas J WarehamMedical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK.
Kay-Tee KhawDepartment of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK.
Marie H GeiselInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.
Nils LehmannInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.
Raimund ErbelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45122 Essen, Germany.
Yolanda van der GraafJulius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
W M Monique VerschurenJulius Center for Health Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
Jolanda M A BoerNational Institute for Public Health and the Environment (RIVM), P O Box 1 3720 BA Bilthoven, Netherlands.
Vijay NambiCenter for Cardiovascular Disease Prevention, Michael E DeBakey Veterans Affairs Hospital, 6655 Tavis Street, Houston, TX 77030, USA.
Frank L J VisserenDepartment of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.
Jannick A N DorresteijnDepartment of Vascular Medicine, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, Netherlands.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095164 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1999 to 2001
$511k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095163 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1999 to 2001
$443k
Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_12015/1Medical Research Council MR/N003284/1NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169
6 · The paper itself

Abstract

aimsThe benefit an individual can expect from preventive therapy varies based on risk-factor burden, competing risks, and treatment duration. We developed and validated the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model for the estimation of individual-level 10 years and lifetime treatment-effects of cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people. METHODS AND

resultsModel development was conducted in the Multi-Ethnic Study of Atherosclerosis (n = 6715) using clinical predictors. The model consists of two complementary Fine and Gray competing-risk adjusted left-truncated subdistribution hazard functions: one for hard cardiovascular disease (CVD)-events, and one for non-CVD mortality. Therapy-effects were estimated by combining the functions with hazard ratios from preventive therapy trials. External validation was performed in the Atherosclerosis Risk in Communities (n = 9250), Heinz Nixdorf Recall (n = 4177), and the European Prospective Investigation into Cancer and Nutrition-Netherlands (n = 25 833), and Norfolk (n = 23 548) studies. Calibration of the LIFE-CVD model was good and c-statistics were 0.67-0.76. The output enables the comparison of short-term vs. long-term therapy-benefit. In two people aged 45 and 70 with otherwise identical risk-factors, the older patient has a greater 10-year absolute risk reduction (11.3% vs. 1.0%) but a smaller gain in life-years free of CVD (3.4 vs. 4.5 years) from the same therapy. The model was developed into an interactive online calculator available via www.U-Prevent.com.

conclusionThe model can accurately estimate individual-level prognosis and treatment-effects in terms of improved 10-year risk, lifetime risk, and life-expectancy free of CVD. The model is easily accessible and can be used to facilitate personalized-medicine and doctor-patient communication.

Indexed as

Cardiovascular DiseasesSmoking CessationAgedBlood PressureCholesterolFibrinolytic AgentsHumansMiddle AgedNetherlandsProspective StudiesRisk FactorsCholesterolFibrinolytic AgentsApparently healthy peopleCardiovascular disease preventionLifetime predictionTherapy-benefit

Identifiers

PMID31102402
PMCPMC7229871

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.